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Dataset supporting the University of Southampton Doctoral Thesis "Steps towards mixed energy optimisation of Uncrewed Aerial Vehicles" part 2- PoETS

Dataset supporting the University of Southampton Doctoral Thesis "Steps towards mixed energy optimisation of Uncrewed Aerial Vehicles" part 2- PoETS
Dataset supporting the University of Southampton Doctoral Thesis "Steps towards mixed energy optimisation of Uncrewed Aerial Vehicles" part 2- PoETS
Dataset supporting the University of Southampton Doctoral Thesis "Steps towards mixed energy optimisation of Uncrewed Aerial Vehicles" and also a publication by Laminn McLay, Andras Sobester, James Scanlan TITLE: PoETS: A Proposed Powertrain Topology Encoding Scheme JOURNAL: AIAA SCITECH 2023 Forum, https://arc.aiaa.org/doi/10.2514/6.2023-1363 This dataset contains: OSGF40-engine_data.csv battery_data_combined.csv motors.csv engine_name_with_willans_power_calculation.csv fuelcell.csv propeller_name.csv pv.csv Related projects: Steps towards mixed energy optimisation of Uncrewed Aerial Vehicles - https://doi.org/10.1017/aer.2023.61
PoETS, UAV
University of Southampton
McLay, Laminn
b4873c42-3b83-464e-b7b7-4c6ecd65d0ce
McLay, Laminn
b4873c42-3b83-464e-b7b7-4c6ecd65d0ce

McLay, Laminn (2024) Dataset supporting the University of Southampton Doctoral Thesis "Steps towards mixed energy optimisation of Uncrewed Aerial Vehicles" part 2- PoETS. University of Southampton doi:10.5258/SOTON/D3044 [Dataset]

Record type: Dataset

Abstract

Dataset supporting the University of Southampton Doctoral Thesis "Steps towards mixed energy optimisation of Uncrewed Aerial Vehicles" and also a publication by Laminn McLay, Andras Sobester, James Scanlan TITLE: PoETS: A Proposed Powertrain Topology Encoding Scheme JOURNAL: AIAA SCITECH 2023 Forum, https://arc.aiaa.org/doi/10.2514/6.2023-1363 This dataset contains: OSGF40-engine_data.csv battery_data_combined.csv motors.csv engine_name_with_willans_power_calculation.csv fuelcell.csv propeller_name.csv pv.csv Related projects: Steps towards mixed energy optimisation of Uncrewed Aerial Vehicles - https://doi.org/10.1017/aer.2023.61

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D3044-_thesis_readme.txt - Dataset
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data.zip - Dataset
Available under License Creative Commons Attribution.
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More information

Published date: 2024
Keywords: PoETS, UAV

Identifiers

Local EPrints ID: 489302
URI: http://eprints.soton.ac.uk/id/eprint/489302
PURE UUID: 6aa382c6-9936-4d6c-8e67-6502b66e0139

Catalogue record

Date deposited: 19 Apr 2024 16:40
Last modified: 19 Apr 2024 16:40

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Contributors

Creator: Laminn McLay

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